Deep and shallow data science for multi-scale optical neuroscience

arXiv:2402.08811v1 Announce Type: cross
Abstract: Optical imaging of the brain has expanded dramatically in the past two decades. New optics, indicators, and experimental paradigms are now enabling in-vivo imaging from the synaptic to the cortex-wide scales. To match the resulting flood of data across scales, computational methods are continuously being developed to meet the need of extracting biologically relevant information. In this pursuit, challenges arise in some domains (e.g., SNR and resolution limits in micron-scale data) that require specialized algorithms. …

abstract arxiv brain computational cortex cs.lg data data science eess.iv enabling experimental flood imaging match neuroscience optical optics q-bio.qm scale science type